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Kelsey Foster
Kelsey Foster

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Top Machine Learning Conferences for 2022

The field of Machine Learning has become an extremely hot topic, both in academia and in industry. Its far-reaching applications include autonomous vehicles, smart home technology, Speech-to-Text APIs and software, fraud detection, streaming service recommendations, image recognition, and much more.

As more advances are made in Deep Learning, Artificial Intelligence, and Machine Learning, expect these applications to become even more far reaching and ingrained into our everyday lives.

This post looks at some of the top Machine Learning conferences planned for 2022. 2021 saw the return of some in-person conferences, though most remained hybrid in-person/virtual events at the very least. Expect this trend to continue in 2022 as well.

This list of conferences includes the highly technical, like COLT, and the more commercial, like CES, depending on your experience and interest. Most have multiple tracks — from industrial applications to programming to theoretical — and many also include hands-on workshops for applied skills like programming. Notable speakers include presenters from top companies and universities such as Google Brain, MIT, Cornell University, GM, Instacart, Stanford University, and more.

Check out the complete list and full details below.

Machine Learning Conferences:

1. Deep Learning Summit

The Deep Learning Summit, sponsored by Re-Work, brings together industry experts and academic researchers to explore the latest advancements in the fields of Deep Learning and Artificial Intelligence. Though held in person in San Francisco, the conference also has a fully virtual option for those not wishing to travel.

When: February 17–18, 2022
Where: San Francisco, CA (or virtual)
Pricing: $795-$1,695 ($199 for virtual ticket)
Notable Speakers:

  • Maithra Raghu, Sr. Research Scientist, Google Brain
  • Lex Fridman, AI Researcher, MIT
  • Richard Socher, Founder,
  • Ilya Echstein, ML/AI Researcher, Google

Register here.

2. CES

CES, sponsored by the Consumer Technology Association, is a broad scale conference showcasing advancements in AI, smart homes, digital health, automotive and transportation, gaming and computing, and more. Those interested in AI and Machine Learning will find sessions on AI and Equity, Using AI to Improve Privacy and Security, Giving Devices a Voice, Bias, and more. Note that proof of vaccination is required for in-person attendance.

When: January 5–8, 2022
Where: Las Vegas, Nevada (or virtual)
Pricing: $100-$850
Notable Speakers:

  • Jenny Abramson, Founder and Managing Partner, Rethink Impact
  • Mary Barra, Chair and CEO, GM
  • Carolyn Everson, President, Instacart
  • Jen Easterly, Director, Cybersecurity and Infrastructure Security Agency (CISA)

Register here.


At the 39th International Conference on Machine Learning (ICML) attendees examine cutting-edge research in Machine Learning, as well as related fields such as Data Science, Artificial Intelligence, Machine Vision, Computational Biology, Automatic Speech Recognition (ASR), and more. Last year’s virtual conference had nearly 11,000 attendees. The 2022 conference will be held in person, location TBD.

When: July 17–25, 2022
Where: TBD
Pricing: TBD
Notable Speakers (2020):

  • Daphne Koller, CEO and Founder, Insitro
  • Xiao Cunde, Director of State Key Laboratory, Beijing Normal University
  • Cecilia Clementi, Professor of Chemistry, Rice University
  • Edward Chang, UC San Francisco

Register here.

4. ML Conference

The ML Conference brings together expert speakers from industry and academia and applied workshops over three days. Attendees have the option of four tracks: Advanced ML Development, Machine Learning Principles, Machine Learning Business & Strategy, and Tools, APIs, & Frameworks. Workshops cover topics such as Machine Learning 101++ Using Python and more.

When: TBD, Typically June
Where: TBD
Pricing (2021): 539–926 Euros
Notable Speakers (2021):

  • 1. Kamila Hankiewicz, Untrite
  • 2. Sebastian Meyen, Software and Support Media
  • 3. Christoph Henkelmann, DIVISIO
  • 4. Dr. Pieter Buteneers, Sinch Register here.

5. Ai4

Attendees at Ai4 include data practitioners and business leaders as they come together to discuss and progress the fields of Machine Learning and Artificial Intelligence technology. The conference has both industry and technical tracks with 25 minute expert-led sessions with 50-minute panel discussions. Topics include Top Use Cases, Compliance and AI, Build vs. Buy, Understanding AI, Data Science, and more.

When: **TBD, Typically August
Pricing: TBD (Some free spots available)
Notable Speakers (2021):

  • Surabi Bhargava, Machine Learning Engineer, Adobe
  • Ken Zhang, Head of Research Technology Data Science, Morgan Stanley
  • Ambica Rajagopal, Group Chief AI Officer, Michelin
  • Hoan Ton-That, Co-founder and CEO, Clearview AI

Register here.

6. LOD

The Conference on Machine Learning, Optimization, and Data Science (LOD) looks at hot topics in Big Data, Artificial Intelligence, Computational Optimization, and Machine Learning. Sessions include industrial tracks, tutorials, poster presentations, invited talks, and more. The 2021 conference was held both in-person, in the Lake District, England, and online.

When: TBD, Typically October
Where: TBD
Pricing (2021): 580–630 Euros
Notable Speakers (2021):

  • Ioannis Antonoglou, DeepMind
  • Roberto Cipolla, University of Cambridge
  • Panos Pardalos, University of Florida
  • Verena Rieser, Heriot Watt University

Register here.

7. Conference on Learning Theory (COLT)

The Conference on Learning Theory, or COLT, includes recorded talks, poster sessions, informal discussions, and Q&A sessions in a hybrid in-person and online format. 2021 topics included minimally supervised learning, optimization, game theory, randomized linear algebra, non-stationary reinforcement learning with prior knowledge, neural networks and Deep Learning, and more.

When: TBD, Typically August
Where: TBD
Pricing: TBD
Notable Speakers:

  • Eva Tardos, Cornell University
  • David Silver, DeepMind and University College, London
  • Sara van de Geer, Cornell University
  • Persi Diaconis, Stanford University

Register here.

First published on Medium:

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